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Fixed structure Mathematical Morphology (MM) operators have been used to detect QRS complexes in the ECG. These schemes are limited by the arbitrary setting of threshold values. Our study aims at extracting QRS complex fiducial points using MM with an adaptive structuring element, on a beat-to-beat basis. The structuring element is updated based on the(More)
As part of the 2015 PhysioNet/CinC Challenge, this work aims at lowering the number of false alarms, which are a persistent concern in the intensive care unit. The multimodal database consists of 1250 life-threatening alarm recordings, each categorized as a bradycardia, tachycardia, asystole, ventricular tachycardia or ventricular flutter/fibrillation(More)
Various studies have been performed to analyze and asses the baroreflex sensitivity (BRS) in different settings. Our study aims at analyzing the BRS at rest and during different exercise stages and altitudes. Twenty-one young, healthy subjects underwent experimental trials near sea level, and two times at high altitude. BRS was calculated using the sequence(More)
Various approaches have been proposed to detect the R-waves in the ECG. From the derivative-based to more complicated wavelet transform methods, the main goal of these approaches is to extract the R-waves from the perturbations present in the ECG. Our study aims at proposing a simple preprocessing tool that suppresses perturbations and enhances the R-waves(More)
This paper is part of a series titled “AltitudeOmics” that together represent a group of studies that explore the basic mechanisms controlling human acclimatization to hypoxia. This study aims at analyzing the baroreflex sensitivity (BRS) at sea level, in acute and chronic hypoxia and test whether hyperoxia reverts the hypoxic effects.(More)
Base classifier's classification error and diversity are key factors in performance of ensemble methods. There is usually a trade-off between classification error and diversity in ensemble methods. Decreasing classification error of base classifiers usually makes them less diverse while increasing diversity, results in less accurate base classifiers. This(More)
As a part of 2016 Physionet/CinC callenge, this work aims at the detection of abnormal phonocardiogram (PCG) recordings. Heart sound signal analysis has been an active research topic over the past decades with various studies such as heart sound segmentation and classification. We used the Physionet/CinC2016 challenge PCG database, which contains a large(More)
RR-interval time series often present impulses corresponding to short-duration increases or decreases in the heart rate, most probably due to bursts in autonomic activity. The time-domain heartrate variability index pNN50 is obviously linked to these spikes. As linear filtering is not appropriate for the extraction of these spikes, we developed a nonlinear(More)
This study was undertaken to determine the ability of different markers extracted from single lead ECG recorded in sinus rhythm to identify patients prone to atrial fibrillation (AF). For this purpose, 5-minute ECGs recorded in sinus rhythm from two populations were compared: patients with a history of AF and healthy subjects without any history of AF.(More)